基于人工神经网络的配电网侧电力变压器常规保护

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI:10.1109/ICEARS56392.2023.10085631

Shankar B B, Harshitha Bhat, S. Poornima, R. Bharanidharan, M. Sridharan, Ayan Banik

{"title":"基于人工神经网络的配电网侧电力变压器常规保护","authors":"Shankar B B, Harshitha Bhat, S. Poornima, R. Bharanidharan, M. Sridharan, Ayan Banik","doi":"10.1109/ICEARS56392.2023.10085631","DOIUrl":null,"url":null,"abstract":"A smart grid has a complex topology which includes multiple diversity of components. Power interruption due to faulty components has become a major issue in smart grid. It is difficult to obtain warning for faults that occur in each component. Also, the security of smart grid is under threat due to these unnoticeable faults. To improve the security of smart grid, it is essential to develop an efficient fault detection technique. Hence, an attempt is made to determine the transmission line faults that occur in smart grids using Artificial Neural Networks. The proposal is simulated using MATLAB SIMULINK and the results confirm the supremacy of the proposal over other approaches.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conventional Protection of Power Transformers at Distribution Grid Side using Artificial Neural Network\",\"authors\":\"Shankar B B, Harshitha Bhat, S. Poornima, R. Bharanidharan, M. Sridharan, Ayan Banik\",\"doi\":\"10.1109/ICEARS56392.2023.10085631\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A smart grid has a complex topology which includes multiple diversity of components. Power interruption due to faulty components has become a major issue in smart grid. It is difficult to obtain warning for faults that occur in each component. Also, the security of smart grid is under threat due to these unnoticeable faults. To improve the security of smart grid, it is essential to develop an efficient fault detection technique. Hence, an attempt is made to determine the transmission line faults that occur in smart grids using Artificial Neural Networks. The proposal is simulated using MATLAB SIMULINK and the results confirm the supremacy of the proposal over other approaches.\",\"PeriodicalId\":338611,\"journal\":{\"name\":\"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEARS56392.2023.10085631\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEARS56392.2023.10085631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

智能电网具有复杂的拓扑结构，其中包含多种多样的组件。由于部件故障导致的电力中断已成为智能电网的主要问题。对于发生在每个组件中的故障，很难获得警告。同时，由于这些不被注意到的故障，智能电网的安全性也受到了威胁。为了提高智能电网的安全性，必须开发一种高效的故障检测技术。因此，尝试使用人工神经网络来确定智能电网中发生的传输线故障。利用MATLAB SIMULINK对该方案进行了仿真，结果证实了该方案的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Conventional Protection of Power Transformers at Distribution Grid Side using Artificial Neural Network

A smart grid has a complex topology which includes multiple diversity of components. Power interruption due to faulty components has become a major issue in smart grid. It is difficult to obtain warning for faults that occur in each component. Also, the security of smart grid is under threat due to these unnoticeable faults. To improve the security of smart grid, it is essential to develop an efficient fault detection technique. Hence, an attempt is made to determine the transmission line faults that occur in smart grids using Artificial Neural Networks. The proposal is simulated using MATLAB SIMULINK and the results confirm the supremacy of the proposal over other approaches.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2023 Second International Conference on Electronics and Renewable Systems (ICEARS)

自引率

0.00%

发文量